Engineer

Lynda – Become a DevOps Engineer Learning-path

Lynda – Become a DevOps Engineer Learning-path [AhLaN]
English | Size: 12.43 GB
Category: Tutorial


Lynda – DevOps Foundations – Continuous Delivery_Continuous Integration [AhLaN]
Lynda – DevOps Foundations – DevSecOps [AhLaN]
Lynda – DevOps Foundations – Infrastructure as Code [AhLaN]

Linux Academy – Red Hat Certified System Engineer RHEL 7 (RHCE)

Linux Academy – Red Hat Certified System Engineer RHEL 7 (RHCE)
English | Size: 2.85 GB
Category: Tutorial


If you are a RHCSA progressing to becoming an RHCE, you have two options. You can continue preparing for the Red Hat Enterprise Linux 7 version of the course and take the current RHCE exam (EX300) until June 2020. Or you can elect to prepare for the new exam (EX294), based on the upcoming release of Red Hat Enterprise Linux 8.

Certified Penetration Testing Engineer (CPTE) | Stone River eLearning

Certified Penetration Testing Engineer (CPTE) | Stone River eLearning
English | Size: 5.44GB
Category: Tutorial


The Certified Penetration Testing Engineer (CPTE) is a vendor-neutral certification offered by Mile2 for aspiring penetration testing engineers who are looking to enhance their hands-on experience regarding the penetration testing methodologies used by the industry professionals. The course also covers the five key elements of penetration testing, namely; information gathering, scanning, enumeration, exploitation and reporting. These five key elements form a basis of discovering the vulnerabilities in a given system. The Certified Penetration Testing Engineer (CPTE) course enhances the business skills needed to identify protection opportunities, justify testing activities and optimize security controls to reduce risk associated with working with the internet. The course utilizes the latest tools, such as Saint, Metasploit through Kali Linux and Microsoft PowerShell.

Data Camp – Data Engineer with Python [Career Track]

[FreeCoursesOnline.Me] Data Camp – Data Engineer with Python [Career Track]
English | Size: 5.62 GB
Category: Tutorial


In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database.